Probabilistic assessment of the impact of electric vehicles and nonlinear loads on power quality in residential networks
Open accessAbstract
This paper presents a probabilistic methodology to assess the power quality impact (harmonics and voltage unbalance levels) in low voltage residential networks with increased simultaneous integration of nonlinear loads and electric vehicles. The uncertain behavior of these loads is considered in the model by applying a probabilistic approach that accounts for their stochastic allocation and performance. In particular, different electric vehicle charging locations and modes of charge are assumed for the analysis of the electric car impact and weekly demand profiles are considered for the nonlinear loads. A Monte Carlo simulation is performed in order to obtain a probabilistic assessment of power quality with penetration levels of disturbing loads estimated for year 2030 for different penetration levels of electric vehicles in the system and including the interaction with photovoltaic generation. The methodology proposed is applied to the IEEE European Low Voltage network and to a larger 471-buses residential network and results are compared to EN50160 standard limits as the reference framework for low voltage power quality indices.
AI snapshot
Written from the paper’s full text.
TL;DR
This paper proposes a Monte Carlo probabilistic method to assess harmonics and voltage unbalance in low-voltage residential networks with simultaneous electric vehicle (EV) and nonlinear load integration. Applied to IEEE European LV and a 471-bus network, it finds that 3rd harmonic and unbalance are the main power-quality concerns, with EV charging mode and location strongly affecting unbalance and only slightly affecting harmonics.
Key findings
- In the IEEE European LV feeder, 3rd harmonic is the critical harmonic: 5th and 7th harmonics show almost complete compliance with EN50160 limits, while the median percentage of clients exceeding the 3rd harmonic limit is between 80% and 85% across charging strategies.
- EV charging can attenuate 3rd harmonic at certain locations due to opposite phase angles: with no EV, about 51% of clients experience 95th THD limit violations in at least 50% of weeks; with 20% EV penetration and charging at bus 53, this falls below 45%.
- Unbalance is strongly affected by charging mode and location: uncontrolled and controlled charging lead to 58.18% of clients exceeding the unbalance limit in more than 5% of weeks, versus 25.45% with no EV; measured and smart charging reduce this to 27.27%.
- In the 471-bus Representative European Network #7, median THD violations decrease from 67.3% without EVs to 66.0% at 20% EV and 65.8% at 40% EV, then rise to 66.2% at 60% EV; adding 40% PV reduces violations slightly, e.g. THD median from 67.78% to 63.48% at 0% EV.
Methods
- A Monte Carlo simulation with 160 simulated weeks, 10-min intervals (1008 per week, 161,280 harmonic injections and three-phase power flows), using OpenDSS and Matlab; outputs are 3rd, 5th, and 7th harmonic voltages, THD, and unbalance at all buses, compared to EN50160 95th-percentile limits.
- Stochastic models cover EV charging start time, duration, battery sizes (54, 24, 16 kWh), charger power (1.44, 3.6, 3 kW), and power factor distribution; residential nonlinear loads use Markov-chain weekly profiles (300 generated, winter period) and measured harmonic spectra; PV generation uses stochastic irradiance and panel sizes.
- Scenarios include 2030 assumptions of 20% EV and 60% nonlinear loads, four charging modes (measured, uncontrolled, controlled, smart), distributed versus concentrated charging locations, EV penetration levels of 20%, 40%, and 60%, and 40% PV penetration in case study 3.
Limitations
- Stated: results are representative of the network with the main substation transformer specified in the test feeder, and transformer loading level has a strong influence on power-quality levels and limit compliance.
- Evident from the text: the study is limited to winter demand profiles, odd harmonic orders up to the 7th, specific 2030 penetration assumptions, and two residential LV networks; the 160-week Monte Carlo run is described as a compromise between simulation time and accuracy.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
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Claims the paper makes
0 of 13 cited sources checked · 0 supported · 0 flagged
- Findingown data
The simultaneous connection of electric vehicles and power-electronics-based loads can decrease the voltage harmonic content at certain harmonic orders while increasing it at others.
“The results indicate that the simultaneous connection of EVs and power electronics based loads can result in a potential decrease of the voltage harmonic content of certain harmonic orders while others can be increased.”
Quote in the paperSubstantial claim - Findingown data
The error in the frequency of occurrence of 3rd harmonic voltages has a strong elbow between 20 and 100 iterations.
“As shown in Fig. 5, this error has a strong elbow between 20 and 100 iterations.”
Quote in the paperSubstantial claim - Findingown data
With 20% electric vehicle penetration and charging location at bus 53, the percentage of clients with THD limit violations in 50% of the weeks is slightly reduced to below 45%.
“When 20% EV penetration is considered and charging location is assumed at bus 53, that percentage of clients with THD limit violations in 50% of the weeks is slightly reduced down to below 45%.”
Quote in the paperNot a substantial claim - Findingreasoning
The existence of EVs has a major influence on unbalance problems in residential networks.
“Regarding unbalance problems, the existence of EVs has proved to have a major influence, as EV represents a significant single-phase load, added to the prevailing residential load.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Findingown data
NL load penetration is crucial for harmonic distortion level.
“It has been found that NL load penetration is crucial for harmonic distortion level, and phases of the injected harmonic currents are critical since a summation or attenuation effect can be produced by the concurring loads, which leads to different severity of the scenario.”
Quote in the paperSubstantial claim
- Findingown data
The same effect (decrease then increase) is observed in the 3rd harmonic values.
“The same effect is observed in the 3 rd harmonic values that are shown in the right graph of Fig. 15.”
Quote in the paperSubstantial claim - Findingown data
The EV charging location (distributed or concentrated) has a stronger effect on voltage unbalance than on voltage harmonics.
“The EV charging location (distributed or concentrated) also has a stronger effect on voltage unbalance than on voltage harmonics.”
Quote in the paperSubstantial claim - Findingown data
Between 80% and 85% of the clients have a weekly 95th percentile which exceed the 3rd harmonic limit in at least 50% of the weeks.
“In all the scenarios the median of the distribution is between 80% and 85%, which means that between 80% and 85% of the clients have a weekly 95 th percentile which exceed the 3 rd harmonic limit in at least 50% of the weeks.”
Quote in the paperSubstantial claim - Findingown data
The 3rd harmonic attenuation is no longer observed when the EVs penetration increases over the 40%.
“The 3 rd harmonic attenuation is no longer observed when the EVs penetration increases over the 40%.”
Quote in the paperSubstantial claim - Findingown data
This slight effect is observed mainly at buses close to the main transformer or in the middle of the feeder.
“This slight effect is observed mainly at buses close to the main transformer or in the middle of the feeder.”
Quote in the paperNot a substantial claim - Findingown data
Simulations show very small difference in the voltage harmonic levels reached with the different EV charging modes.
“Simulations show very small difference in the voltage harmonic levels reached with the different EV charging modes.”
Quote in the paperSubstantial claim - Findingown data
A similar reduction regarding unbalance problems can be found when PV generation is integrated.
“A similar reduction regarding unbalance problems can be found when comparing Fig. 19 and Fig. 16.”
Quote in the paperNot a substantial claim - Findingown data
There is a slight reduction in the probability of exceeding the 3rd harmonic voltage limits in the scenario of centralized car park at bus 53.
“Fig. 14(c) also shows a slight reduction in the probability of exceeding the 3 rd d harmonic voltage limits in the scenario of centralized car park at bus 53.”
Quote in the paperNot a substantial claim - Findingown data
There is an increase in the probability of limit exceedance for the centralized car park at buses 20 and 53 for 5th harmonic voltage.
“On the contrary, Fig. 14(d) shows the opposite effect and an increase in the probability of limit exceedance can be observed for the centralized car park at buses 20 and 53.”
Quote in the paperSubstantial claim - Findingown data
When no electric vehicle is present, around 51% of clients experience violations of the 95th THD limit during at least 50% of the simulated weeks.
“For instance, when no EV is present, by looking at the median it can be seen that around 51% of the clients experience violations of the 95 th THD limit during at least 50% weeks.”
Quote in the paperSubstantial claim - Findingown data
25.45% of clients exceed the unbalance limit in more than 5% of the weeks (8 weeks) when there are no EV.
“For instance, 25.45% of clients exceed the unbalance limit in more than 5% of the weeks (8 weeks) when there are no EV.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Findingown data
5th and 7th harmonics do not jeopardise harmonic limit compliance (their levels are much lower and present almost complete compliance with limits).
“The 3 rd harmonic has been selected for this analysis because levels of 5 th and 7 th harmonics are much lower and, consequently, present almost complete compliance with limits.”
- Also stated in: § 5. Conclusion · plain
“The results have shown that, while 5 th and 7 th harmonics do not jeopardise the harmonic limit compliance of low voltage network with the standard EN50160, increasing amount of NL loads and EV may lead to voltage harmonic problems (both at individual harmonic level and THD) caused by the increased injection of the 3 rd harmonic.”
Quote in the paperSubstantial claim - Also stated in: § 5. Conclusion · plain
- Findingown data
Distributed charging location at bus 53 is the most beneficial charging location regarding harmonic levels.
“According to results of Section 4.1.1 it can be seen that distributed charging location at bus 53 is the most beneficial charging location regarding harmonic levels, while it is the worst regarding unbalances.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Findingown data
Distributed charging location at bus 53 is the worst charging location regarding unbalances.
“According to results of Section 4.1.1 it can be seen that distributed charging location at bus 53 is the most beneficial charging location regarding harmonic levels, while it is the worst regarding unbalances.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Findingown data
In all the scenarios, THD values have higher probability to be exceeded at buses far away from the main transformer.
“In all the scenarios, THD values have higher probability to be exceeded at buses far away from the main transformer.”
Quote in the paperSubstantial claim - Findingown data
The mean of the sliding 95th percentile of 3rd harmonic at bus 52 of the IEEE European LV test feeder is very close to the convergence value for 160 iterations.
“In Fig. 6 it can be seen that the mean is very close to the convergence value for the number of iterations selected (160).”
Quote in the paperSubstantial claim - Findingown data
Compared to the case without PV generation, results show a slight decrease in the number of harmonic limits violations when PV distributed generation is integrated.
“Compared to Fig. 15 (in Section 4.2) where there was no PV generation deployed, results show a slight decrease in the number of limits violations.”
Quote in the paperNot a substantial claim - Findingown data
Distributed charging all over the network leads to similar unbalance problems to locating a concentrated charging station close to the substation (i.e. bus 3).
“Distributed charging all over the network leads to similar unbalance problems to locating a concentrated charging station close to the substation (i.e.bus 3).”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Findingown data
This percentage increases to 58.18% with the EV penetration assumed for 2030 if the scenarios of uncontrolled or controlled charging are considered.
“This percentage increases to 58.18% with the EV penetration assumed for 2030 if the scenarios of uncontrolled or controlled charging are considered.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Findingown data
The severity of 3rd harmonic levels is higher than that of 5th harmonic levels.
“The comparison of these two figures shows very clearly the higher severity of 3 rd harmonic levels compared to 5 th harmonic levels.”
Quote in the paperNot a substantial claim - Findingnone given
Voltage harmonics are only slightly influenced by the charging mode variable.
“Voltage harmonics, however, are only slightly influenced by this variable.”
Quote in the paperSubstantial claim - Findingown data
A reduction of the percentage of clients with limit violations is observed when electric vehicles are located at bus 53.
“A reduction of the percentage of clients with limit violations is observed when the EVs are located at bus 53.”
Quote in the paperSubstantial claim - Findingown data
Unbalance limit violation is strongly dependent on the EV charging location.
“Unbalance limit violation is strongly dependent on the EV charging location.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Interpretationreasoning
A probabilistic method is necessary to account for the stochastic behavior of power quality indices.
“In order to take into account this stochastic behavior it is necessary to approach the problem using a probabilistic method.”
Quote in the paperSubstantial claim- Rests on an assumption: Residential load and electric vehicle demand profiles show great variability along the week and from one week to another.
- Study design and conductown data
160 simulated weeks is a good compromise between simulation time and accuracy.
“In this work, 160 weeks have been simulated using the Monte Carlo method in all the presented case studies as a good compromise between simulation time and accuracy.”
Quote in the paperSubstantial claim - Interpretationreasoning
A deterministic approach based on a single time step or a reduced number of time steps could hardly be representative of the stochastic behavior of power quality indices.
“Therefore, a deterministic approach to evaluate PQ based on the analysis of a single time step or a reduced number of them could hardly be representative of the stochastic behavior of PQ indices.”
Quote in the paperSubstantial claim- Rests on an assumption: Residential load and electric vehicle demand profiles show great variability along the week and from one week to another.
- Premisecitation
Measurements in [18] were taken for a set of electric vehicle chargers connected to a single-phase low voltage network, registering current magnitudes and phases during charging time.
“Measurements in [18] were taken for a set of EV chargers connected to single-phase low voltage (LV) network, registering current magnitudes and phases during charging time.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The charging strategy (mainly influenced by charging start time) does not affect significantly the compliance with standard limits of voltage harmonic distortion levels (or the probability to exceed THD limits).
“This means that the charging strategy (mainly influenced by charging start time) does not affect significantly the compliance with standard limits of voltage harmonic distortion levels.”
- Also stated in: § 4.1.5. Comparison of different cases and discussion · plain
“Charging mode affects very little the probability to exceed THD limits at the buses.”
Quote in the paperSubstantial claim - Also stated in: § 4.1.5. Comparison of different cases and discussion · plain
- Premisecitation
Transformer loading level has a strong influence on PQ levels and limits compliance.
“It must be noted that transformer loading level has a strong influence on PQ levels and limits compliance as shown in [35].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The penetration level of electric vehicles in 2030 is estimated to be 20% of houses.
“In this work (case study #1), the scenario of 2030 is analyzed, where the penetration level of EVs is estimated to be 20% according to [1] (i.e.20% of the houses will have an EV by 2030).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Increasing amount of NL loads and EV may lead to voltage harmonic problems (both at individual harmonic level and THD) caused by the increased injection of the 3rd harmonic.
“The results have shown that, while 5 th and 7 th harmonics do not jeopardise the harmonic limit compliance of low voltage network with the standard EN50160, increasing amount of NL loads and EV may lead to voltage harmonic problems (both at individual harmonic level and THD) caused by the increased injection of the 3 rd harmonic.”
Quote in the paperSubstantial claim - Interpretationreasoning
Controlled and uncontrolled charging modes are based on a coincident time for starting the charge of EVs, which implies higher unbalance levels.
“As it was previously explained, these two charging modes are based on a coincident time for starting the charge of EVs, which implies higher unbalance levels.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Premisecitation
EN50160 compares the 95th disturbance percentile with the disturbance threshold.
“It is important to notice that EN50160 compares the 95 th disturbance percentile with the disturbance threshold.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites EN50160
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
EN50160 establishes a limit of 2% for the 95th percentile of unbalance during the week.
“EN50160 establishes a limit of 2% for the 95 th percentile of unbalance during the week.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites EN50160
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The decrease of harmonic voltages and unbalances in the network is explained by the reduction of the transformer loading ratio that takes place when PV generates some of the power demanded by the LV consumers.
“In addition, the decrease of harmonic voltages and unbalances in the network is explained by the reduction of the transformer loading ratio that takes place when PV generates some of the power demanded by the LV consummers (as shown in Fig. 21).”
Quote in the paperSubstantial claim - Interpretationcitation
Simulations considering weekly demand profiles are required to consider the stochastic behavior of domestic loads in compliance with power quality limits.
“In order to consider the stochastic behaviour of domestic loads in compliance with PQ limits [15], simulations considering weekly demand profiles are required.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: Residential load and electric vehicle demand profiles show great variability along the week and from one week to another.
- Interpretationreasoning
The 95th percentile value of voltage disturbances is subject to uncertainty because it is obtained from uncertain inputs.
“This value has been obtained from uncertain inputs and, consequently, it is subjected to uncertainty.”
Quote in the paperSubstantial claim - Interpretationreasoning
The summation effect of PV inverter harmonic currents has very little impact on the total harmonic current distortion.
“Therefore, their summation effect has very little impact on the total harmonic currrent distortion.”
Quote in the paperSubstantial claim - Premisecitation
The harmonic spectra of aggregated residential load profiles follows a distribution with two load types, type a and type b.
“According to this approach, harmonic spectra of aggregated residential load profiles follows a distribution with two load types (namely, loads type a and loads type b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 14
- Classified as probably not a substantial claim. 13
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataVoltage unbalance levels can reach non-tolerable values, and these values are influenced by the charging mode and location of the electric vehicles.
“Unbalance levels can reach non tolerable values that are influenced by the charging mode and location of the EVs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenUncontrolled charging strategy is the worst case regarding unbalance levels.
“Fig. 10 has been obtained assuming uncontrolled charging strategy which is the worst case regarding unbalance levels.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
May combine two claims.
FindingreasoningImpact of PV distributed generation together with EV and residential NL loads has been assessed and a reduction of harmonic and unbalance levels has been detected caused by the reduction of the transformer loading.
“Impact of PV distributed generation together with EV and residential NL loads has been assessed and a reduction of harmonic and unbalance levels has been detected caused by the reduction of the transformer loading.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenHarmonic currents injected by PV inverters have very low magnitude and their phase is not aligned with the prevalent harmonic phase.
“Firstly, harmonic currents injected by PV inverters have very low magnitude and their phase is not aligned with the prevalent harmonic phase.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCharging location can affect the distribution of probability of exceeding THD at certain buses but, in general, the severity in the whole network is slightly affected.
“Charging location can affect the distribution of probability of exceeding THD at certain buses but, in general, the severity in the whole network is slightly affected.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenConcentrated charging of EVs far from the main substation transformer increases unbalance in the network and results in a small attenuation of 3rd harmonic.
“Concentrated charging of EVs far from the main substation transformer, increases unbalance in the network and results in a small attenuation of 3 rd harmonic.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataThe most severe conditions regarding voltage unbalances are caused by uncontrolled and controlled EV charging modes (modes that involve simultaneous charging start time).
“The most severe conditions regarding voltage unbalances are caused by uncontrolled and controlled EV charging modes.”
- Also stated in: § 5. Conclusion · plain
“As a general conclusion, the modes of charging that involve simultaneous charging start time can lead to severe unbalance problems.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Also stated in: § 5. Conclusion · plain
May combine two claims.
Findingown dataThe median percentage of clients whose 95th unbalance percentile exceeds the EN50160 unbalance limit is 53.1% when no EV is connected, 52.7% with 20% EVs, 53.9% with 40% EVs, and 54.4% with 60% EVs.
“The median is 53.1% when no EV is connected to the network (just the NL loads), 52.7% with 20% EVs, and it increases to 53.9% with 40% EVs and to 54.4% with 60% EVs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe reduction behavior is also observed in Fig. 11(b) regarding the 3rd harmonic EN50160 voltage limit.
“This behavior is also observed in Fig. 11(b) regarding 3 rd harmonic EN50160 voltage limit.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLocating car parks at buses far away from the substation (or buses far from the transformer in a radial network) increases unbalance problems.
“It is clear that locating car parks at buses far away from substation will increase unbalance problems.”
- Also stated in: § 4.1.5. Comparison of different cases and discussion · plain
“Buses far away from the transformer in a radial network will suffer from more unbalance than those close to the substation.”
Quote in the paperSubstantial claim- The authors state this as an assumption: When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
- Also stated in: § 4.1.5. Comparison of different cases and discussion · plain
May combine two claims.
Findingown dataThe median percentage of clients exceeding the THD percentile limit decreases from 67.3% without EVs to 66.0% with 20% EVs and 65.8% with 40% EVs, and increases again to 66.2% for 60% EVs.
“It can be observed that the median in the boxplot (represented as a red line) decreases from 67.3% clients without EVs (just NL loads) to 66.0% and 65.8% with 20% and 40% EVs, respectively, and it increases again to 66.2% for 60% EVs.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIncreasing the number of iterations from 100 to 400 or 1000 does not decrease the error proportionally, while it does increase computation time.
“This means increasing number of iterations from 100 to 400 or 1000 does not decrease error proportionally, when time does.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown data160 Monte Carlo simulations are performed according to convergence studies.
“In this case, 160 simulations are performed according to the convergence studies described in Section 3.3.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenThe output obtained from the set of Monte Carlo simulations is statistically representative of the range of expected output values.
“The output obtained from the set of simulations is statistically representative of the range of expected output values.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenThe simulation is rerun over 160 weeks so that the results obtained in the set of simulations can be representative of all possible power quality output values.
“In order to assess statistically its probability, the simulation is rerun over a large number of iterations (in this study 160 weeks have been simulated) so that results obtained in the set of simulations can be representative of all possible PQ output values.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe result is consistent with the compensation effect of the 3rd harmonic observed in the previous case study (European LV test feeder) and explained in Section 4.1.1.
“This result is consistent with the compensation effect of the 3 rd harmonic observed in the previous case study (European LV test feeder) and explained in Section 4.1.1.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataPhases of the injected harmonic currents are critical since a summation or attenuation effect can be produced by the concurring loads, which leads to different severity of the scenario.
“It has been found that NL load penetration is crucial for harmonic distortion level, and phases of the injected harmonic currents are critical since a summation or attenuation effect can be produced by the concurring loads, which leads to different severity of the scenario.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe scenario with uncontrolled charging mode and concentrated charging locations at car parks is the most critical regarding PQ.
“The scenario with uncontrolled charging mode and concentrated charging locations at car parks has been selected as it is considered to be the most critical regarding PQ.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationResults shown in this section are representative of the network with the main substation transformer specified by [20].
“Results shown in this section are representative of the network with the main substation transformer specified by [20].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationAccording to EN50160, during 95% of the week, voltage disturbances calculated in 10-min intervals should not exceed 2% for unbalance; 5%, 6% and 5% for 3rd, 5th and 7th harmonic voltage, respectively; and 8% for voltage THD.
“According to standard [15], during 95% of the week, voltage disturbances calculated in 10 min intervals should not exceed 2% limit for unbalance; 5%, 6% and 5% for 3 rd , 5 th and 7 th harmonic voltage, respectively, and 8% for voltage THD.”
- Also stated in: § 4.1.1. Harmonic analysis for different EV charging locations · plain
“According to EN50160, the 95 th percentile of THD values measured in 10 min periods over a week must be below 8%.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Also stated in: § 4.1.1. Harmonic analysis for different EV charging locations · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe harmonic voltage thresholds of EN50160 have very similar values in IEEE Std.519.
“These harmonic voltage thresholds have very similar values in standard IEEE Std.519 [33].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenThe same approach and methodology is valid to compare the system performance to different standards, such as IEEE Std.519 or any other, and to establish non-compliance with the limits.
“The same approach and methodology is also valid to compare the system performance to different standards, such as IEEE Std.519 or any other, and to establish non-compliance with the limits.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationA reduction of the transformer loading ratio implies an increase in fundamental voltages and a reduction of PQ indices expressed as a percentage of fundamental voltage.
“This reduction of the transformer loading ratio implies an increase in fundamental voltages and, namely, a reduction of PQ indices expressed as a percentage of fundamental voltage [35].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Premisecitation60% of residential loads will be power-electronics-based in 2030.
“Taking into account that penetration of electronic-based loads is increasing, this study also assumes 60% residential loads will be power-electronic-based in 2030, according to estimations proposed in [1].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe winter period has higher demand and power quality disturbances reach higher severity levels.
“These demand profiles have been calculated for winter period where demand is higher and PQ disturbances reach higher severity levels [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The paper relies on this without support.
Residential load and electric vehicle demand profiles show great variability along the week and from one week to another.
“Demand profiles of residential loads and EV show great variability along the week and from one week to another.”
The paper relies on this without support.
Many of the loads included in the residential demand are nonlinear.
“Many of the loads that are included in this residential demand are NL.”
The paper relies on this without support.
The interaction between electric vehicles and nonlinear residential loads is influential and produces an attenuation effect at certain harmonic orders.
“However, these previous studies neglect the interaction between EVs and NL residential loads which has been proved to be influential and to produce an attenuation effect at certain harmonic orders.”
The authors state this as an assumption.
When EVs are charged at a residence, the charger is connected to the network on the same phase as the house.
“For this study, when EVs are charged at a residence, the charger is assumed to be connected to the network to the same phase as the house.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Table 5 is described as both medians and averages
MinorThe case-study text says Table 5 reports medians, but the table caption identifies its values as average percentages. These are different summary statistics.
“Table 5 shows numerical results for the median in order to ease the comparison of the results when the PV generation is integrated.”
“Table 5 Comparison of average percentage of clients violating PQ standard with an without PV generation.”
Distributed charging described as occurring at a single bus
MinorDistributed charging is defined as charging each EV at a different residence, whereas charging at bus 53 is one of the concentrated car-park locations.
“distributed charging location at bus 53 is the most beneficial charging location regarding harmonic levels”
“Concentrated charging location: all EV are charged in car parks, situated in a certain bus of the network.Under this hypothesis, three locations are considered: at the beginning of the feeder, in the middle, and at the end of the feeder.”
Overlapping household-size categories
MinorThe categories are presented as parts of a distribution, but the final category, "four or more inhabitants," includes the households already counted as having four inhabitants.
“16% with 4”
“the remaining 5.6% with four or more inhabitants.”
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“Probabilistic models are also adopted to take into account the uncertainties related to charging modes and location of EVs [11,17,19].”
MethodModeling of Load Demand Due to EV Battery Charging in Distribution Systems
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“Probabilistic models are also adopted to take into account the uncertainties related to charging modes and location of EVs [11,17,19].”
MethodAn open source platform for collaborating on smart grid research
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“This charging mode is proposed and described by [22].”
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“EV harmonic injections are randomly obtained from normal distributions of phase angle and magnitude, obtained from measurements as explained in [18].”
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“This stochastic behavior is modelled by means of the tool proposed in [27], based on Markov chains [28].”
MethodStatistical Representation of EV Charging: Real Data Analysis and Applications
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“In this study, final and initial SOC are stochastically determined by means of a Gaussian mixture model for both variables and for both weekends and weekdays as proposed by [17].”
BackgroundMethodPower quality improvement in smart grids using electric vehicles: a review
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“New tools and procedures are required in order to analyze the potential effect of high penetration levels of EVs and NL devices and their mutual interaction in order to be prepared for the challenges that their integration into residential distribution networks implies [4].”
MethodReactive power support in residential LV distribution grids through electric vehicle charging
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“In particular, in [13] Monte Carlo simulations were used for the assessment of unbalance caused by EVs in distribution network while in [14], the combined effect of simultaneous operation of photovoltaic generation and EVs is studied.”
BackgroundMethodRepresentative Residential LV Feeders: A Case Study for the North West of England
Rigoni, V., Ochoa, L. F., Chicco, G., Navarro-Espinosa, A., & Gozel, T. (2016) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2015.2403252 · Cited by 81 · cited 4× · see citing works
“When running one scenario considering odd harmonic orders up to 7th and 160 iterations (each one simulating a week with 1008 10-min intervals) the computation time is around 180 min for the IEEE European LV test feeder [20] and around 12 hrs for the Representative European Network #7 [21].”
MethodInfluentialRichardson, I., & Thomson, M. (2012) · Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy · doi:10.1177/0957650912454989 · Cited by 76 · cited 1× · see citing works
“To this aim, a daily sun irradiance model for each month of the year is used [23].”
MethodDevelopment of Stochastic Aggregate Harmonic Load Model Based on Field Measurements
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“Harmonic spectrum for residential loads [16].”
BackgroundMethodInfluentialSelf-citation(2010) · doi:10.1109/pes15840.2010 · Cited by 65 · see citing works
A Study on the Harmonic Contributions of Residential Loads
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Grid Impacts Due to Increased Penetration of Newer Harmonic Sources
Sharma, H. C., Rylander, M., & Dorr, D. (2015) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2015.2464175 · Cited by 60 · cited 3× · see citing works
“The study presented here is focused on future scenario [1] with increased penetration of NL loads and is applied to a residential network with one feeder and 55 residential consumers [20] and to another larger network with 471 consumers [21].”
MethodTovilović, D. M., & Rajaković, N. (2014) · Renewable Energy · doi:10.1016/j.renene.2014.11.065 · Cited by 51 · see citing works
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Grid impacts due to increased penetration of newer harmonic sources
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“This stochastic behavior is modelled by means of the tool proposed in [27], based on Markov chains [28].”
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Stochastic Residential Harmonic Source Modeling for Grid Impact Studies
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“In case study #3 of this work, a 40% penetration of PV generation has been assumed as a forecast for 2030 levels according to [25].”
BackgroundWeb-based platform for exchanging harmonic emission measurements of electronic equipment
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“Finally, in order to consider the harmonic injections of PV generation, current harmonics from single-phase PV inverters are obtained from measurements extracted from PANDA database [26].”
MethodBollen, M., Rönnberg, S. K., Zavoda, F., et al. (2017) · IEEE PES Innovative Smart Grid Technologies Europe · doi:10.1109/isgteurope.2017.8260116 · Cited by 17 · see citing works
Probabilistic Assessment of Harmonics in a Residential Network
Rodríguez-Pajarón, P., Hernández, A., & Milanović, J. V. (2020) · International Conference on Harmonics and Quality of Power · doi:10.1109/ichqp46026.2020.9177873 · Cited by 8 · cited 1× · see citing works
“These demand profiles have been calculated for winter period where demand is higher and PQ disturbances reach higher severity levels [30].”
BackgroundSelf-citationInfluence of Transformer Rating on Power Quality Indices in Low Voltage Residential Networks
Rodríguez-Pajarón, P., Hernández, A., & Milanović, J. V. (2020) · IEEE Mediterranean Electrotechnical Conference (MELECON) · doi:10.1109/melecon48756.2020.9140504 · Cited by 2 · cited 2× · see citing works
“This reduction of the transformer loading ratio implies an increase in fundamental voltages and, namely, a reduction of PQ indices expressed as a percentage of fundamental voltage [35].”
BackgroundSelf-citationA comprehensive study of the impacts of PHEVs on residential distribution networks
ElNozahy, M., & Salama, M. (2014) · 2014 IEEE PES General Meeting | Conference & Exposition · doi:10.1109/pesgm.2014.6939045
Representative residential LV feeders: A case study for the North West of England
Rigoni, V., Ochoa, L. F., Chicco, G., et al. (2016) · 2016 IEEE Power and Energy Society General Meeting (PESGM) · doi:10.1109/pesgm.2016.7741222
Method to assess the power quality impact of plug-in electric vehicles
Jiang, C., Torquato, R., Salles, D., et al. (2014) · 2014 16th International Conference on Harmonics and Quality of Power (ICHQP) · doi:10.1109/ichqp.2014.6842835
Flagged first, then by citations
Research works printed but not linked: 3
- Distribution System Analysis Subcommitteee: Distribution Test Feeder Working Group, IEEE european low voltage test feeder, webpage; 2015. Available: http://sites.ieee.org/pes-testfeeders/resources/.
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- Std 519, IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems, Standard P519, IEEE; 2015. https://ieeexplore.ieee.org/document/7050220.
Cited by
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A review of fault location and classification methods in distribution grids
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A critical review of the effect of light duty electric vehicle charging on the power grid
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Forecasting voltage harmonic distortion in residential distribution networks using smart meter data
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“Power quality disturbances can also result from the increasing integration of distributed generation (DG), as well as from the widespread use of nonlinear loads, faults in the power system, lightning strikes, switching operations of transformers and capacitors, and so on [1], [2].”
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Electric vehicles and power quality in low voltage networks: Real data analysis and modeling
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Network-secure bidding strategy for aggregators under uncertainty
Iria, J., Coelho, A. F., & Soares, F. J. (2022) · Sustainable Energy Grids and Networks · doi:10.1016/j.segan.2022.100666 · Cited by 28 · see citing works
A Wind Power Scenario Generation Method Based on Copula Functions and Forecast Errors
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Design and Implementation of Low-Cost Electric Vehicles (EVs) Supercharger: A Comprehensive Review
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Electric Arc Furnaces as a Cause of Current and Voltage Asymmetry
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Analyzing the influence of electric vehicle charging scheduling on distribution transformer lifespan
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Residential Harmonic Injection Models Based on Field Measurements
Rodríguez-Pajarón, P., Hernández, A., Mendonça, H., et al. (2022) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2022.3195962 · Cited by 17 · see citing works
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Effects of long-range electric vehicles on distribution system using probabilistic analysis
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DWTGB-Based Power Quality Disturbance Detection in Electric Vehicle Charging Station
Daliri, H. S., Dejagah, M., Khodabakhshi‐Javinani, N., et al. (2024) · Smart Grid Conference · doi:10.1109/sgc64640.2024.10983685 · Cited by 11 · see citing works
“A probabilistic technique to evaluate the impact of nonlinear loads and electric vehicles on PQ, including voltage imbalance and harmonics, was introduced in [21] within residential networks.”
Xiao, Y., Deng, S., Han, F., et al. (2022) · IEEE Access · doi:10.1109/access.2022.3195184 · Cited by 11 · see citing works
Data‐Driven Temporal Charging Patterns of Electric Vehicles in China
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A Bottom-up model for simulating residential harmonic injections
Rodríguez-Pajarón, P., Caro, E., Hernández, A., et al. (2022) · Energy and Buildings · doi:10.1016/j.enbuild.2022.112103 · Cited by 10 · see citing works
Self-citationEvaluating Effects of Electric Vehicle Chargers on Residential Power Infrastructure
Chiradeja, P., Chuadmee, O., Ananwattanaporn, S., et al. (2025) · Applied Sciences · doi:10.3390/app15115997 · Cited by 9 · see citing works
Nonlinear Loads Modelling and Harmonics Analysis: A Review
Htita, I., Abdalla, O. H., El-Korfolly, M. I., et al. (2023) · Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) · doi:10.2174/2352096516666230821161502 · Cited by 7 · see citing works
Wesseling, Y., Damianakis, N., Mouli, G. R. C., & Bauer, P. (2025) · IEEE Access · doi:10.1109/access.2025.3555169 · Cited by 10 · see citing works
“While this was seen in some works for the PVs-EVs combination ( [22], [24]), it wasn’t seen again for the PVs-HPs combination (e.g. in [31]) or the PVs-HPs-EVs combination ([32], [33], [34]).”
InfluentialMoradi, A., Yaghoobi, J., & Zare, F. (2022) · IEEE Access · doi:10.1109/access.2022.3170412 · Cited by 7 · see citing works
“Existing levels of current and voltage harmonics in the range of 2-150 kHz in distribution networks have been studied in [3], [4], [13].”
BackgroundRodríguez-Pajarón, P., Bayo, A. H., & Milanović, J. V. (2021) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2021.107582 · Cited by 6 · see citing works
Self-citationZhang, R., Wang, J., Yang, Z., et al. (2025) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2025.110856 · Cited by 5 · see citing works
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Low voltage distribution grids optimization with increasing distributed energy generation: A review
Khan, B., Hussain, S., Ullah, H., et al. (2025) · Energy Reports · doi:10.1016/j.egyr.2025.12.050 · Cited by 4 · see citing works
A Heuristic Technique For EV Hosting Capacity Enhancement In Power Distribution Network
Rahman, Q. A., Chowdhury, A., & Shah, R. (2023) · Australasian Universities Power Engineering Conference · doi:10.1109/aupec59354.2023.10502528 · Cited by 4 · see citing works
“In [3], harmonics and voltage imbalance is assessed using probabilistic impact the stability of the distribution network as found from the study in [5].”
MethodOptimized design of battery pole control system based on dual-chip architecture
Xiao, Y., Deng, S., Liu, W., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264285 · Cited by 4 · see citing works
“prediction of the IEA (International Energy Agency), the global EV ownership will reach 35million in 2030, among which China and Europe will reach 12 million and 13 million in China and Europe [3].”
BackgroundInfluentialA Predictive Model for Voltage Transformer Ratio Error Considering Load Variations
Li, Z., Cui, J., Rocha, P. R. F., Abu‐Siada, A., Li, H., & Qiu, L. (2024) · World Electric Vehicle Journal · doi:10.3390/wevj15060269 · Cited by 3 · see citing works
Data-Driven Distribution System Expansion Planning Considering High EV and PV Penetration
Arif, A. I., & Milanović, J. V. (2021) · IEEE PES Innovative Smart Grid Technologies Europe · doi:10.1109/isgteurope52324.2021.9639991 · Cited by 3 · see citing works
Self-citationImpact of ultrafast EV charging stations on the electrical distribution grid: a case study in Terni
Bucarelli, M. A., Geri, A., Maccioni, M., et al. (2023) · IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) · doi:10.1109/eeeic/icpseurope57605.2023.10194699 · Cited by 3 · see citing works
Impact of the Electric Vehicle Charging on the Power Systems
Patel, D. K., Mansani, S., & Goswami, A. K. (2022) · IEEE International Conference on Power Electronics, Drives and Energy Systems · doi:10.1109/pedes56012.2022.10080817 · Cited by 2 · see citing works
“The majority of PHEVs and EVs are powered in single-phase mode [3].”
BackgroundHarmonic Source Modeling of AC Electric Arc Furnace Based on Mechanism-data Serial Drive
Lei, A., Yang, Y., Chen, H., et al. (2024) · International Conference on Harmonics and Quality of Power · doi:10.1109/ichqp61174.2024.10768764 · Cited by 2 · see citing works
“…excess will lead to transmission line loss increase, make the transformer, generator and other power equipment temperature rise seriously, and bring serious harm to the power grid, so harmonic pollution has become a common concern of researchers around the world of the power system problems [1-3].”
Çelık, D. (2025) · International Conference on Electronics, Computers and Artificial Intelligence (ECAI) · doi:10.1109/ecai65401.2025.11095600 · Cited by 2 · see citing works
“These issues are compounded when multiple harmonic-producing sources operate concurrently in islanded or grid-connected MG configurations [7], [8].”
Data-Driven Probabilistic Modeling of EV Harmonic Emissions Based on Field Measurements
Mahmoudnezhad, F., Hern´andez, A., Rodríguez-Pajarón, P., et al. (2025) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2025.3649380 · Cited by 2 · see citing works
“Several studies have reported the adverse impacts of EVs on power networks, including enhanced peak demand [13], voltage instability [2], phase unbalance [14], [15], harmonic distortion [16], overloading of distribution network components [17], and higher power losses [10].”
Self-citationWhat’s Hindering EV Mass Adoption in Urban India: From Potential User’s Perspective
Mall, S., & Anbanandam, R. (2023) · Lecture notes in civil engineering · doi:10.1007/978-981-99-2556-8_29 · Cited by 2 · see citing works
Power Quality Problem for Single–Phase Low–Voltage Charging of Electric Vehicles
Jędryczka, C., Kuwałek, P., & Wiczyński, G. (2023) · IEEE International Conference on Energy Technologies for Future Grids (ETFG) · doi:10.1109/etfg55873.2023.10408350 · Cited by 2 · see citing works
“The process of charging electric cars is complex [8]–[10].”
BackgroundLi, Y., Zheng, C., Shu, J., et al. (2024) · Asia Conference on Power and Electrical Engineering (ACPEE) · doi:10.1109/acpee60788.2024.10532609 · Cited by 2 · see citing works
“At the same time, due to the randomness of EV users' charging, a large number of EV loads will be randomly connected to the grid, which may have a certain impact on the distribution network, such as voltage drop, network loss increase and distribution overload [1-2] .”
BackgroundWu, Y., Aziz, S. M., Haque, M. H., et al. (2025) · IEEE Access · doi:10.1109/access.2025.3584326 · Cited by 2 · see citing works
Review of Research on Electric Vehicle V2G Schedule Technology Under Multi Perspective
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“The charging and discharging behavior of EVs is random, when largescale EV fleets connected to the grid without control, it may affect the safe and stable operation of the power grid, such as increasing the peak-to-valley difference of the load, then may increase the loss of distribution network, voltage drift and tra…”
BackgroundPower Quality Prediction at Consumers Using a Hybrid Knowledge-Based Approach
Miron, A., Cziker, A. C., Ungureanu, Ș., et al. (2023) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc257844.2023.10293729 · Cited by 1 · see citing works
“[22-26], and own measurements.”
Determination of Harmonic Filter Effect on Single-Phase Residential Energy Meter
Nugraha, Y. A., Facta, M., & Handoko, S. (2024) · International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) · doi:10.1109/eecsi63442.2024.10776569 · Cited by 1 · see citing works
“[3] According to data from the Central Statistics Agency, in 2021, there were a total of 257,634.26 single-phase electricity users, including 8,665.99 in the social sector, 115,370.05 in households, 44,440.85 in businesses, 80,904.45 in industry, and 8,252.92 in the public sector.”
InfluentialBanjanin, M. S., Rosić, M., Erceg, B., et al. (2025) · International Symposium INFOTEH-JAHORINA (INFOTEH) · doi:10.1109/infoteh64129.2025.10959179 · Cited by 1 · see citing works
“Because of that analysis of the electric power quality is becoming very important in modern electric power systems [1]-[4].”
An Efficient Multi‐Core DSP Power Management Controller
Huang, J., Wang, H., Gong, G., et al. (2025) · Engineering Reports · doi:10.1002/eng2.70079 · Cited by 1 · see citing works
“The process of power gating technology employs the Unified Power Format (UPF) technology, which defines the power domain and controls the turning off and on of the power domain through the control signals issued by power management control [38–40].”
Assessing the Impact of Ultrafast Charging Stations on Distribution and Sub-Transmission Networks
Bragatto, T., Bucarelli, M. A., Carere, F., et al. (2025) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2025.3600208 · Cited by 1 · see citing works
“In [5] and [6] the effects of CSs on the power quality of the network are investigated using OpenDSS, highlighting how harmonics increase in a non-negligible way.”
On the impact of voltage unbalance on distribution locational marginal prices
Zabihi, A., Badesa, L., & Hernández, A. (2026) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2026.111808 · Cited by 1 · see citing works
“Two types of distributed generation are considered in the system: b) Bus 4 includes three single-phase rooftop PV panels, each with a nominal capacity of 2.5 kVA, operating at unity power factor [39].”
InfluentialSelf-citationBattery Storage Allocation in Unbalanced Distribution Systems with EV Demand Uncertainty
Arif, A. I., & Milanović, J. V. (2022) · International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) · doi:10.1109/pmaps53380.2022.9810571 · Cited by 1 · see citing works
“The active (P iφts) and reactive (Qiφts) power scenarios are generated according to the work in [14].”
BackgroundMethodSelf-citationCikotić, L., Bosović, A., & Musić, M. (2022) · B&H eletrical engineering · doi:10.2478/bhee-2022-0016 · Cited by 1 · see citing works
Probabilistic Transport-Induced Emissions and Health Risks for Adelaide, South Australia
Iqbal, A., & Rahman, M. M. (2024) · Environmental Modeling & Assessment · doi:10.1007/s10666-024-09971-z · Cited by 1 · see citing works
“Stochastic modelling is widely used in many fields to handle the uncertainty of parameters [28–31].”
Nozdrenkov, V. S., Diahovchenko, I. M., & Petrovskyi, M. V. (2024) · Bulletin of the National Technical University KhPI Series Energy Reliability and Energy Efficiency · doi:10.20998/eree.2024.2(9).317648 · Cited by 1 · see citing works
Influence of Selected Parameters of Medium-Voltage Network on the Value of Voltage Asymmetry Factors
HOŁDYŃSKI, G., & Skibko, Z. (2025) · Applied Sciences · doi:10.3390/app15031560 · Cited by 1 · see citing works
Banjanin, M. S., Milovanovic, M. J., & Radosavljević, J. N. (2025) · Journal of Electrical Engineering · doi:10.2478/jee-2025-0006 · Cited by 1 · see citing works
Shilpa, R., & Puttaswamy, P. S. (2025) · Electrical Engineering · doi:10.1007/s00202-025-02991-2 · Cited by 1 · see citing works
Including Uncertainties in Harmonic Hosting Capacity Calculation of a Fast Ev Charging StationPreprint
Nakhodchi, N., Bakhtiari, H., Bollen, M., & Rönnberg, S. K. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4150376 · Cited by 1 · see citing works
Hansen, Z. N. L., Hansen, N. E., Bayer, M., et al. (2022) · Production Engineering · doi:10.1007/s11740-022-01172-5
Coordination of Plug-in Electric Vehicles to Improve Performance and Power Quality
Misra, P., Rathor, S., Saxena, D., et al. (2023) · IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) · doi:10.1109/globconht56829.2023.10087889
“CRITERION COMPARISON FOR PROPOSED WORK Criterion [15] 2020 [16] 2017 [17] 2019 [18] 2021 [19] 2020 [20] 2021 [21] 2021 Proposed Voltage imbalance Phase balancing Loss minimization”
BackgroundEvaluation of Harmonic Distortion in Distribution Networks under Transformer N-1 Security Criterion
Rodríguez-Pajarón, P., Hernández, A., & Milanović, J. V. (2023) · doi:10.1109/powertech55446.2023.10202763
Self-citationHarmonic Analysis of Grid-Connected Electric Vehicle Charging Stations
Yang, Z. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-3408-9_33
Large-Scale Electric Vehicle Access to the Grid Requires Addressing the Threat of Disinformation
Fan, R., & Zhang, D. (2023) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon51785.2023.10312331
“Since there are many stochastic problems in EV charging, these uncertainties cause large-scale EV charging to be disorderly in nature [3].”
BackgroundTools for modeling the level of harmonic distortion in power grids and their impact
Malogulko, J., Teptia, V., Ostra, N., et al. (2023) · Polityka Energetyczna – Energy Policy Journal · doi:10.33223/epj/166435
“In their joint study, Rodriguez-Pajaron et al. (2021) use Monte Carlo simulations to obtain a probabilistic estimate of the quality of electricity in accordance with the penetration levels of non-linear loads for the period until 2030, including their interaction with photovoltaic systems.”
MethodZavala-Tubay, A., Mera, H. P., & Mera, G. E. P. (2024) · Ingenius · doi:10.17163/ings.n32.2024.03
Determination of the Effect of Harmonics on the Performance of Single-Phase Low Voltage kWh Meters
Nugraha, Y. A., Facta, M., & Handoko, S. (2024) · International Journal of Research and Review · doi:10.52403/ijrr.20240833
“[2] Referring to data from the Central Statistics Agency, 1-phase electricity users in 2021 reached 257,634.26, with details of social use as many as 8,665.99, households 115,370.05, businesses 44,440.85, industry 80,904.45, and the public 8,252.92.”
BackgroundInfluentialRaj, V. H., Reddy, M. S. S., Thethi, H. P., et al. (2024) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i61595.2024.10828863
“To collect and transmit commands for energy dispatch for plug-in hybrid vehicles (PEVs) [31-34].”
IMPACT ANALYSIS OF PLUG-IN ELECTRIC VEHICLES ON THE REAL RESIDENTIAL DISTRIBUTION NETWORK
Aydın, M. S. (2025) · Konya Journal of Engineering Sciences · doi:10.36306/konjes.1569043
Zhang, R., Wang, J., Yang, Z., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5202121
Data-Driven Emission Analysis of On-Board Chargers and Large Ac Charging Sites of Electric VehiclesPreprint
Hildén, A., Simolin, T., Attar, M., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5373187
Data-driven emission analysis of on-board chargers and large AC charging sites of electric vehicles
Hildén, A., Simolin, T., Attar, M., & Pakonen, P. (2025) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2025.111457
Zhao, Y. (2025) · Springer theses · doi:10.1007/978-3-031-99048-9_1
Karim, A. H. A., Kadir, M. Z. A. A., LIU, X. B., et al. (2026) · Journal of Energy Storage · doi:10.1016/j.est.2026.121535
Li, G. Y., Chang, G. W., & Lu, H. J. (2026) · IEEE Power Engineering Society General Meeting · doi:10.1109/pesgm58988.2026.11693150
“However, the integration of large-scale EV charging stations into existing power distribution networks introduces a new set of power quality challenges [2], [3].”
Mahmoudnezhad, F., Hernandez, A., & Rodríguez-Pajarón, P. (2026) · IEEE Power Engineering Society General Meeting · doi:10.1109/pesgm58988.2026.11693620
“However, widespread integration of these nonlinear loads inherently introduces harmonic distortion in both current and voltage waveforms, primarily due to the switching operation and control strategies of their power-electronic interfaces [2], [3].”
Self-citationDobush, V. S., & Vorobeva, V. (2026) · Electricity · doi:10.3390/electricity7040114
Ma, S., Li, F., Zheng, Z., et al. (2026) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2026.112224
Waveform Analysis of Non-Sinusoidal Electrical Signals Using Cubic Spline Interpolation
Shklyarskiy, Y. E., Bolshunova, O., & Kuznetsova, Y. (2026) · Eng—Advances in Engineering · doi:10.3390/eng7100567
- Authors
- Rodríguez-Pajarón, P., Hernández, A., & Milanović, J. V.
- Affiliations
- Universidad Politécnica de Madrid (ES)
- University of Manchester (GB)
- Corresponding author
- Rodríguez-Pajarón, Pablo
- Venue
- International Journal of Electrical Power & Energy Systems
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 129
- Pages
- 106807
- ISSN
- 0142-0615 (ISSN-L)
- OpenAlex
- W3128401085
- Cited by
- 89
- References
- 33
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 19 · 2023: 18 · 2022: 20 · 2021: 6
- FWCI
- 4.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Electrical Power & Energy Systems (publishedVersion, cc-by-nc-nd)
- Research Explorer (The University of Manchester) (publishedVersion, other-oa)
- Hispana (acceptedVersion, cc-by-nc-nd)
- UPM Digital Archive (Technical University of Madrid) (submittedVersion, cc-by-nc-nd)
- Funders
- Ministerio de Ciencia, Innovación y Universidades
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Keywords
- electric vehicles, nonlinear loads, power quality, harmonic distortion, voltage unbalance, residential distribution networks, low-voltage distribution networks, probabilistic analysis, photovoltaic generation, Monte Carlo simulation, load uncertainty
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